class_docstr: Ackley02 objective function.
  
  The Ackley02 [1]_ global optimization problem is a multimodal minimization
  problem defined as follows:
  
  .. math::
  
      f_{\text{Ackley02}(x) = -200 e^{-0.02 \sqrt{x_1^2 + x_2^2}}
  
  
  with :math:`x_i \in [-32, 32]` for :math:`i=1, 2`.
  
  *Global optimum*: :math:`f(x) = -200` for :math:`x = [0, 0]`
  
  .. [1] Jamil, M. & Yang, X.-S. A Literature Survey of Benchmark Functions
  For Global Optimization Problems Int. Journal of Mathematical Modelling
  and Numerical Optimisation, 2013, 4, 150-194.
code: def fun(self, x, *args):
      self.nfev += 1
      return -200 * exp(-0.02 * sqrt(x[0] ** 2 + x[1] ** 2))
  
imports: from numpy import abs, cos, exp, pi, prod, sin, sqrt, sum
  from .go_benchmark import Benchmark
label_desc: Use image node_id 2 for calling the Ackley02 obj's underlying member method code with example usage: obj.fun(x) and returns: unknown